Veterans

Electrical Engineering

Properties of linear networks, mesh and nodal analysis, network theorems, solution of first order and second order circuits in the time domain are studied. A software package, such as PSPICE, MATLAB and MATHCAD will be introduced.

Characterization of semiconductor diodes, Zener diodes, transistors and field effect transistors (FET).Effect of temperature variation. Amplifier bias analysis and large signal analysis. Power amplifiers. Small signal models and small signal amplifier analysis. The course will also include a special project or paper as required and specified by the instructor and the SoECS graduate committee.

The course introduces students to the modeling and design of fundamental digital circuits. Topics cover introduction to binary numbering, Boolean algebra, combinatorial and sequential logic circuits and memory elements (e.g. ROM, RAM and non-volatile computer memory). VHDL will be used in modeling, simulation and synthesis of digital circuits. The course will also include a special project or paper as required and specified by the instructor and the SoECS graduate committee. Knowledge of Algebra.

Topics covered in this course include: phasors, AC steady-state analysis, transfer functions, frequency response, Laplace transform two-port networks. The course will also include a special project or paper as required and specified by the instructor and the SoECS graduate committee.

Control systems analysis. Differential equations of motion of mass-spring and RLC systems. Differential equations of motion of servo-mechanism. Response to step, ramp and sinusoidal forcing command. Servomechanism transfer functions, signal-flow diagrams. State-space description; transition matrix, sensitivity analysis and error analysis. Stability analysis using the Bode diagram and the root-locusmethods. The course will also include a special project or paper as required and specified by the instructor and the SoECS graduate committee.

Topics covered in this course are: discrete networks, difference equations, discrete continuous convolution, Z transforms and Fourier series and transforms. The course will also include a special project or paper as required and specified by the instructor and the SoECS graduate committee.

This course covers basic probability concepts, discrete and continuous random variables, distribution and density functions, and stochastic processes. Principles of statistical inference with applications in basic engineering design are discussed. The course will also include a special project or paper as required and specified by the instructor and the SoECS graduate committee.

Review of Fourier transform and series, correlation and spectral densities of deterministic signals, baseband and bandpass linear systems, AM and FM modulation/demodulation schemes, elements of PCM, introduction to information theory and coding, and introduction to communication networks. The course will also include a special project or paper as required and specified by the instructor and the SoECS graduate committee.

The fundamentals of embedded systems design and implementation are introduced. The fundamentals include: specifications of microcontrollers, common hardware/ software, peripherals and interfacing, memory, performance analysis and optimization, CAD tools, hardware- description languages, FPGA design flows, Low- power computing, and circuit architectures. This course will provide students with an overview of the latest advancements in research, design, development, and new applications of a wide variety of medical devices. A brief background on excitable cells and neuromuscular system will be provided; hence, no biological background is needed. Examples of important medical devices, including pacemakers. Cochlear implants, insulin pumps, and deep brain stimulators will be discussed. Classroom Hours- Laboratory and/ or Studio Hours- Course Credits: 3-0-3

The course is an introduction to the emerging field of quantum computing and engineering. Topics covered in this course include, but are not limited to, quantum measurement theory, quantum teleportation, quantum circuits, quantum computers, quantum noise, and quantum cryptography.

The course introduces students to parallel computer systems. The course covers topics such as sequential and parallel execution, synchronization, pipe lines, and vector processing. SIMD and MIMD machines are studied. Multi stage and computer interconnection networks are presented. The routing and the flow control in these networks are discussed. Shared memory, multicomputer systems, caches, and cache coherence are covered. Data flow systems are introduced and analyzed.

The study of the software/hardware boundary as defined in the Von Neumann Architecture. Review of the technological framework. Effects on machine instructions and formats, addressing techniques, micro programming, fast arithmetic, and advanced memory and 110 practices. Equivalent to CSCI 641.

The fundamentals of embedded systems design and implementation are introduced. The fundamentals include: specifications of microcontrollers, common hardware/ software, peripherals and interfacing, memory, performance analysis and optimization, CAD tools, hardware- description languages, FPGA design flows, Low- power computing, and circuit architectures. This course will provide students with an overview of the latest advancements in research, design, development, and new applications of a wide variety of medical devices. A brief background on excitable cells and neuromuscular system will be provided; hence, no biological background is needed. Examples of important medical devices, including pacemakers. Cochlear implants, insulin pumps, and deep brain stimulators will be discussed. Classroom Hours- Laboratory and/or Studio Hours Course Credits 3-0-3

This course will cover fundamental concepts in linear system theory such as matrix algebra, linear vector space, linear operator. Linearity, causality, and time invariance will be discussed. Input output and state space models will be presented. The concepts of controllability, observability, and stability of linear systems will be studied.

This course presents analysis, design and implementation of robots. To be discussed are robot geometries, kinemetrics, dynamics, trajectory planning and control systems. The impact of these theoretical concepts on robot design will be covered and the integration of robots into flexible automation system will be discussed.

Prerequisite Course(s): Prerequisite: Take one course in each group: Group 1 (EENG 660 or EENG 665) and Group 1 (EENG 630 or EENG 633)

This course covers the state space control design of multi-input and multi-output systems. The H2 and H-infinity control problems are formulated and the design solution for these problems is presented and analyzed. The stability and robustness of the control design are studied.

The queuing problem is described. The Poisson process, the Markovian property of the exponential distribution, stochastic processes and Markov chains are studied. Simple Markovian birth death queuing models as well as advanced Markovian queuing models are considered. Networks, series, and cyclic queues, models with general arrival and service patterns are presented.

An introduction to Nanotechnology is presented via the pragmatic criterion of usefulness. This includes an introduction to the Solid State Physics, methods of measuring nanosecond properties and individual Nano Particles, Carbon nanostructures, Nanostructure Ferromagnetism, Optical Spectroscopy, Quantum Wells, and Nano Machines and Devices.

Discussions of the advancements in computer architecture of and beyond the Von Neumann Architecture. This will include pipelined machines. RISC machines, parallel architectures, distributed architectures, and language directed architectures. Equivalent to CSCI 741.

Quantitative approaches to the design of data and computer networks including the telephone network. Applications of queuing theory blocking and delay. Packet switching and OSI standards. Concepts of a layered architecture. The data link layer. Flow and congestion control in a network, routing, higher layers. An introduction to local area networks. A design project is part of this course.

The method of equivalent networks for electromagnetic structures is introduced and then employed to analyze the propagation of waves in metallic and dielectric guiding structures. Circuit models for waveguide discontinuities are developed. Impedance and scattering matrix descriptions of equivalent circuits are discussed. Metallic waveguides and cavities for microwaves, optical fibers, and planar dielectric waveguides for integrated optics are treated in detail.

Design techniques for modern communication systems. Digital signal representation, sampling, quantization, noise representation, modulation methods and multiplexing. System performance in the presence of noise with emphasis on design.

Design techniques for modern communication systems. Signal processing and noise representation in conjunction with linear systems. Modulation and demodulation techniques. System performance in the presence of noise. Emphasis on design using examples from current space, radar and satellite communications.

This course is an introduction to the mathematical principles of array signal processing and their applications. Topics such as beamformer design, optimum array processing structures, detection and direction of arrival estimation and modern subspace methods are covered. Adaptive algorithms, their convergence properties and shortcomings are studied. Degradation of array performance resulting from nonideal operating conditions and techniques of compensation are investigated. Applications of array signal processing are introduced.

The course introduces the student to RF electronic circuits. Almost sinusoidal oscillators, mixers, RF and IF frequency converters, frequency synthesizers, power amplifiers, and PM modulation and demodulation circuits are covered. The augmentation of conventional models of communication electronics by the principles of fields and waves at SHF mobile radio band is discussed.

This course provides an opportunity for students to study, in a variety of formats, advanced topics which may not be included elsewhere in the curriculum. The topics may be of mutual interest to the student and faculty member or appropriate for group study.

This is the first of a two-course sequence spanning two semesters of research. The master's thesis provides an opportunity for the students to undertake an in-depth investigation of a specific topic within Computer Science. This course requires the students to explore an original and appropriately phrased research question, and carry out and document a comprehensive literature review, research and experimentation in the chosen problem area with a good deal of individual responsibility. The course culminates in a preliminary draft of the thesis document to be presented to the thesis faculty advisor.

This is the second of a two-course sequence for master's thesis. Students will continue the research and experimentation started in the first course in the sequence. The course culminates in an oral defense of the thesis project in front of a thesis committee consisting of the student's thesis faculty advisor and other members. By the end of the semester, students will complete a publication-quality master's thesis to be archived in the NYIT library.